The Lua Scripting Engine

Written by Edward Spink on Tuesday, 04 July 2017. Posted in General

The Lua Scripting engine is an integral part of system:inmation’s design. Fully embedded within the system, it allows the user to completely customize the management of their data network.

Do you wish to combine the output of multiple real-time data streams and compare it with historical data? Or selectively browse a large OPC server namespace and return only the items you’re interested in? Perhaps you want a fully automated KPI dashboard that shows daily, weekly and monthly aggregates for all of the above data sources? The Lua scripting engine can achieve all this and more.

Although this sounds impressive, it can also be a little daunting to begin with and raises some questions. What is Lua? Why would I want to customize my system anyway? And how do I even get started?

Firstly, what is Lua and why does system:inmation use it? The Lua scripting language was specifically developed to integrate with software and provide scripting functionality. It is fast, lightweight and relatively simple making it ideal for use with real-time data applications and great for beginners. This flexibility makes it easy to fully automate tasks or perform actions on demand.

In system:inmation Lua scripts are attached to data processing objects that execute the scripts. Depending on the object, a script could be executed once, periodically or when triggered by another item or action. Scripts can be written directly into the DataStudio script editor and executed in real time.

But why customize the system anyway? Well, even though system:inmation has a comprehensive set of configuration options, every data network is different and the way data is gathered and how the user wants to use that data differs from system to system (and user to user). Customizing the system to provide specific information of specific type to each user provides great benefits in productivity and efficiency. Customization naturally includes the automation of tasks and actions, saving the user time and your organization money.

Sounds good so far, so how to get started?

Powers of 10 – Size is only half of what matters

Written by Timo Klingenmeier on Friday, 29 April 2016. Posted in General

People often talk about size. “Mine’s bigger” is a frequent boast when people gather to have cocktails and talk about their new PC with 11 CPU cores, or their gargantuan movie collection (burned legally from their purchased DVDs of course), their 6-wheel drive Humvee 7 with Dual V-12 engines, or even their favorite Gillette razor with 10 blades (here, feel this).

Size does indeed matter. The Internet of Things (IoT) has ushered in an area without upper bound on the size of the ever-growing recoded history about the world around us. “Big Data” is now a convenient euphemism for this information explosion, and every technology provider is rushing to proclaim how their platform is “bigger” and “better” than their competition. To succeed in today’s Analytics-driven world, it is not enough to be bigger. You also have to be smaller!

Today, inmation makes the bold claim that we are smaller than all of them. Curious? Read on!

Press Release: World’s First NoSQL Process Historian

on Tuesday, 21 April 2015. Posted in Press Release, General

Published at

Product release: inmation presents the next generation of industrial system integration middleware based on the leading NoSQL database - MongoDB

(PresseBox) (Cologne, 21.04.2015) The inmation Software GmbH, based near Cologne, Germany, today announces the release of its new software product system:inmation. system:inmation is a centrally configurable and horizon­tally scalable data middleware system with historian and infrastructure features. It is specifically designed to meet today's increasing requirements of production system real-time data connectivity and system integration simplification. These requirements are catalysed by the prospering Industrie 4.0 and Smart Factory trends. Offering scalability options for all service layers, the product eases the complete and cost-effective enterprise-wide integration between production process, technical analysis, MES, BI and ERP layer.